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Semiconductor Process Integration Engineer Jobs in Colorado

SCN BestCo

Senior Data Integration Engineer

Golden, CO · On-site

... processes to ensure accuracy and completeness. • Collaborate with data warehouse engineering to ... experience in data integration, ETL/ELT development, and/or data engineering. • Hands-on ...

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Semiconductor Process Integration Engineer information

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$52K

$96.8K

$149.8K

How much do semiconductor process integration engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for semiconductor process integration engineer in Colorado is $96,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $108,300.00 per year, depending on experience, location, and employer.

What is a Semiconductor Process Integration Engineer job?

A Semiconductor Process Integration Engineer is responsible for developing and optimizing semiconductor fabrication processes by integrating various process modules, such as lithography, etching, deposition, and CMP. They work closely with design, process, and equipment engineers to ensure device performance, yield, and manufacturability. Their role involves data analysis, troubleshooting process issues, and continuous improvement of semiconductor manufacturing. Additionally, they help with technology transfers and scaling processes for high-volume production.

What are the key skills and qualifications needed to thrive in the Semiconductor Process Integration Engineer position, and why are they important?

To thrive as a Semiconductor Process Integration Engineer, you need a solid understanding of semiconductor device physics, fabrication processes, and materials science, often requiring at least a bachelor's or master's degree in electrical engineering, materials science, or a related field. Proficiency with semiconductor process simulation tools (such as TCAD), data analysis software, and familiarity with cleanroom protocols is essential. Effective communication, problem-solving, and strong project management skills set outstanding candidates apart. These competencies are crucial for optimizing process flows, troubleshooting production issues, and fostering successful collaboration in a multidisciplinary manufacturing environment.

What are typical daily responsibilities for a Semiconductor Process Integration Engineer?

As a Semiconductor Process Integration Engineer, your daily tasks usually involve coordinating with process and device engineers, analyzing production data, and troubleshooting yield or performance issues in semiconductor manufacturing. You may develop and optimize process flows, work on root cause analyses for defects, and implement new technologies to improve device performance. Routine meetings with cross-functional teams—such as design, process engineering, and quality assurance—are common, and your role often includes documenting experimental results and preparing technical presentations. This hands-on, dynamic work environment fosters both technical growth and opportunities to contribute directly to product quality and innovation.
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Semiconductor Process Integration Engineer jobs near you
Infographic showing various Semiconductor Process Integration Engineer job openings in Colorado as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,758 per year, or $46.5 per hour.
Senior Data Integration Engineer

Senior Data Integration Engineer

Santa Cruz Nutritionals

Golden, CO • On-site

$128.20K - $192.29K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

We believe being healthy should not require tradeoffs. SCN BestCo is a leading innovator, developer and manufacturer of Vitamin, Mineral & Supplement (VMS), Over-the-Counter (OTC) and prebiotics/probiotics in enjoyable forms such as gummies, lozenges and chews. With over 50 years of excellence, our team leads the way in changing how consumers make healthier choices. With unique food science expertise and proprietary processes, we've pioneered many firsts. Our passion to create new to the world products has guided and continues to be core to our mission of making health and wellness more enjoyable. Come join us and become a part of our winning formula!
The Senior Data Integration Engineer is responsible for extracting and integrating data from SCN BestCo's core systems, including SAP, JD Edwards (JDE), AMAPS, and other enterprise applications, into the Azure data platform. This role focuses on building and maintaining reliable, scalable data pipelines using tools such as Boomi and Azure Data Factory to ensure consistent and timely delivery of data into staging environments. The Senior Data Integration Engineer partners closely with Data Warehouse and Analytics teams to enable accurate, complete, and accessible data for reporting and analysis.
Estimated starting annual base salary is $128,196.45 - $192,294.61 per year less applicable withholdings and deductions, paid on a bi-weekly basis. Please note that the actual compensation offered may vary based on relevant factors as determined by the Company, which may include, but is not limited to, location, experience, qualifications, education, skillset, and market conditions. The target base compensation for this role is in the low to middle of the range, with the top of the range reserved for only exceptional circumstances. In addition, this role is eligible for a discretionary, variable annual incentive, paid based on Company performance factors. SCN BestCo offers a competitive benefits package to eligible full-time employees, which currently includes medical, dental, and vision plans, 401(k) with employer matching contributions, life insurance, paid time off, tuition reimbursement, and more, as well as paid sick leave in accordance with applicable law. Each benefit is subject to eligibility requirements as specified in plan documents, and the Company reserves the right to modify the benefits it offers from time to time.
Essential Duties and Responsibilities
  • Design, build, and maintain data integration pipelines from SAP, JDE, AMAPS, NetSuite, and other systems into Azure using Boomi and Azure Data Factory.
  • Extract data from source systems via APIs, flat files, database queries, and middleware tools.
  • Ensure reliable and efficient data ingestion into Azure Blob Storage and staging environments.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Partner with business and IT teams to understand data requirements and source system structures.
  • Maintain data integration documentation, including data flows, mappings, and dependencies.
  • Support data validation and reconciliation processes to ensure accuracy and completeness.
  • Collaborate with data warehouse engineering to ensure clean handoff of staged data for modeling.
  • Identify opportunities to improve data acquisition processes and reduce manual effort.
  • Travel as needed for system and stakeholder alignment (~10%).

Required Qualifications
Education & Experience:
  • Bachelor's degree in computer science, information systems, engineering, or related field.
  • 6 years' professional experience in data integration, ETL/ELT development, and/or data engineering.
  • Hands-on experience with Azure Data Factory and/or similar data integration tools.
  • Experience working with enterprise resource planning (ERP) systems such as SAP and JD Edwards (JDE).
  • Experience with middleware tools such as Boomi or similar platforms.

Knowledge, Skills, & Abilities (KSAs):
  • Strong understanding of data integration patterns and pipeline design.
  • Ability to work with structured and semi-structured data formats.
  • Strong SQL skills and experience querying enterprise systems.
  • Ability to troubleshoot and resolve data pipeline and integration issues.
  • Strong communication skills and ability to work cross-functionally.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Ability to apply critical thinking in problem solving. Must be able to demonstrate practical problem solving and trouble shooting skills. Ability to demonstrate practical problem solving and trouble shooting skills. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
  • Must have the ability to communicate effectively, both verbally and in writing, with internal staff and management. Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
  • Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

Preferred Qualifications
  • Experience with Azure cloud ecosystem (Data Factory, Data Lake, Synapse, Fabric).
  • Experience integrating multiple ERP systems in a complex environment.
  • Familiarity with data governance and data quality practices.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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